[CT420]: Finish Assignment 2

2025-03-19 22:57:22 +00:00
parent b0f5a495c0
commit a96f6f5cd9
29 changed files with 80310 additions and 40034 deletions
--- a/year4/semester2/CT420/assignments/assignment2/code/plots/barchart.py
+++ b/year4/semester2/CT420/assignments/assignment2/code/plots/barchart.py
@ -0,0 +1,73 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import os
+import argparse
+
+parser = argparse.ArgumentParser(description="Plot specified metric from CSV files.")
+parser.add_argument("metric", choices=["min", "max", "mean", "std"], help="Metric to plot (min, max, mean, std)")
+args = parser.parse_args()
+
+metric_to_plot = args.metric.lower()
+valid_metrics = {"min": "Min", "max": "Max", "mean": "Mean", "std": "Std"}
+
+csv_files = [
+    ("../../data/Locking Enabled/1. Low CPU Load, No Swap/usleep.csv",       "Locking Enabled, Low CPU Load, No Swap"),
+    ("../../data/Locking Enabled/2. Medium CPU Load, No Swap/usleep.csv",    "Locking Enabled, Medium CPU Load, No Swap"),
+    ("../../data/Locking Enabled/3. High CPU Load, No Swap/usleep.csv",      "Locking Enabled, High CPU Load, No Swap"),
+    ("../../data/Locking Enabled/4. Medium CPU Load, Swap/usleep.csv",       "Locking Enabled, Medium CPU Load, Swap"),
+    ("../../data/Locking Enabled/5. High CPU Load, Swap/usleep.csv",         "Locking Enabled, High CPU Load, Swap"),
+    ("../../data/Locking Disabled/1. Low CPU Load, No Swap/usleep.csv",      "Locking Disabled, Low CPU Load, No Swap"),
+    ("../../data/Locking Disabled/2. Medium CPU Load, No Swap/usleep.csv",   "Locking Disabled, Medium CPU Load, No Swap"),
+    ("../../data/Locking Disabled/3. High CPU Load, No Swap/usleep.csv",     "Locking Disabled, High CPU Load, No Swap"),
+    ("../../data/Locking Disabled/4. Medium CPU Load, Swap/usleep.csv",      "Locking Disabled, Medium CPU Load, Swap"),
+    ("../../data/Locking Disabled/5. High CPU Load, Swap/usleep.csv",        "Locking Disabled, High CPU Load, Swap")
+]
+
+column_name = "Latency/Jitter (ns)"
+
+stats = {
+    "Metric": [],
+    "Label": [],
+    "Value": []
+}
+
+for file, label in csv_files:
+    if os.path.exists(file):
+        df = pd.read_csv(file)
+
+        if column_name not in df.columns:
+            print(f"Warning: Column '{column_name}' not found in {file}. Available columns: {list(df.columns)}")
+            continue
+
+        values = df[column_name].dropna()
+        if values.empty:
+            print(f"Warning: Column '{column_name}' in {file} is empty after removing NaN values.")
+            continue
+
+        stats["Metric"].append(valid_metrics[metric_to_plot])
+        stats["Label"].append(label)
+        if metric_to_plot == "min":
+            stats["Value"].append(values.min())
+        elif metric_to_plot == "max":
+            stats["Value"].append(values.max())
+        elif metric_to_plot == "mean":
+            stats["Value"].append(values.mean())
+        elif metric_to_plot == "std":
+            stats["Value"].append(values.std())
+    else:
+        print(f"Warning: File {file} not found.")
+
+stats_df = pd.DataFrame(stats)
+
+if stats_df.empty:
+    print("Error: No valid data found. Ensure the column name is correct and files are properly formatted.")
+else:
+    fig, ax = plt.subplots(figsize=(16,4))
+    ax.bar(stats_df["Label"], stats_df["Value"], color="black")
+
+    ax.set_xticklabels(stats_df["Label"], rotation=45, ha="right")
+    ax.set_ylabel("Jitter (ns)")
+    ax.set_title(f"{valid_metrics[metric_to_plot]} usleep()")
+
+    plt.tight_layout()
+    plt.show()